Computational notebooks have become the tool of choice for many data scientists and
practitioners for performing analyses and disseminating results. Despite their increasing …

In this paper, we present the first exploratory study of deprecated Python library APIs to
understand the status quo of API deprecation in the realm of Python libraries. Specifically …

Background Jupyter notebooks facilitate the bundling of executable code with its
documentation and output in one interactive environment, and they represent a popular …

Despite the widespread adoption of computational notebooks, little is known about best
practices for their usage in collaborative contexts. In this paper, we fill this gap by eliciting a …

Recent years have seen an increase in data and method reflection in corpus-based
discourse analysis. In this article, we first take stock of some of the issues arising from such …

Notebooks provide an interactive environment for programmers to develop code, analyse
data and inject interleaved visualisations in a single environment. Despite their flexibility, a …

With the recognized crisis of credibility in scientific research, there is a growth of
reproducibility studies in computer science, and although existing surveys have reviewed …

Computational notebooks---such as Jupyter or Colab---combine text and data analysis code.
They have become ubiquitous in the world of data science and exploratory data analysis …

Python has become one of the most popular programming languages nowadays but has not
received enough attention from the software engineering community. Many errors, either …

Computational notebooks are widely used for machine learning (ML). However, notebooks
raise new correctness concerns beyond those found in traditional programming …